Zobrazeno 1 - 10
of 19 242
pro vyhledávání: '"Fein A"'
Data representation in non-Euclidean spaces has proven effective for capturing hierarchical and complex relationships in real-world datasets. Hyperbolic spaces, in particular, provide efficient embeddings for hierarchical structures. This paper intro
Externí odkaz:
http://arxiv.org/abs/2409.16897
Attention mechanisms are critically important in the advancement of synthetic aperture radar (SAR) automatic target recognition (ATR) systems. Traditional SAR ATR models often struggle with the noisy nature of the SAR data, frequently learning from b
Externí odkaz:
http://arxiv.org/abs/2409.00473
Autor:
Fein-Ashley, Jacob
We consider the Ornstein-Uhlenbeck (OU) process, a stochastic process widely used in finance, physics, and biology. Parameter estimation of the OU process is a challenging problem. Thus, we review traditional tracking methods and compare them with no
Externí odkaz:
http://arxiv.org/abs/2404.11526
Autor:
Fein-Ashley, Jacob, Wickramasinghe, Sachini, Zhang, Bingyi, Kannan, Rajgopal, Prasanna, Viktor
Image classifiers for domain-specific tasks like Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) and chest X-ray classification often rely on convolutional neural networks (CNNs). These networks, while powerful, experience high latenc
Externí odkaz:
http://arxiv.org/abs/2402.00564
Parton Distribution Functions (PDFs) contribute significantly to the uncertainty on the determination of the top-quark pole mass and other precision measurements at the Large Hadron Collider (LHC). It is crucial to understand these uncertainties and
Externí odkaz:
http://arxiv.org/abs/2401.13050
Synthetic Aperture Radar SAR Automatic Target Recognition ATR is a key technique of remote-sensing image recognition which can be supported by deep neural networks The existing works of SAR ATR mostly focus on improving the accuracy of the target rec
Externí odkaz:
http://arxiv.org/abs/2312.06940
Autor:
Lindner, Stefan, Juschitz, Paul, Rieser, Jakob, Fein, Yaakov Y., Ciampini, Mario, Aspelmeyer, Markus, Kiesel, Nikolai
Many experiments in the field of optical levitation with nanoparticles today are limited by the available technologies for particle loading. Here we introduce a new particle loading method that solves the main challenges, namely deterministic positio
Externí odkaz:
http://arxiv.org/abs/2311.13920
Autor:
Florian Stehlin, Rabea Y. Khoudja, Derek Lee, Jean-Francois Toupin, Ghislaine A.C. Isabwe, Michael Fein, Ibtihal Al-Otaibi, Elizabeth J. Phillips, Jason A. Trubiano, Ana-Maria Copaescu
Publikováno v:
Allergology International, Vol 73, Iss 4, Pp 610-614 (2024)
Externí odkaz:
https://doaj.org/article/ca4bdde2524445c78546b6327d11781c
Autor:
Ariel Wimpfheimer, Yehuda Ginosar, Shai Fein, Esty Goldberger, Charles Weissman, the Israel Anesthesiology Workforce Study Group
Publikováno v:
Israel Journal of Health Policy Research, Vol 13, Iss 1, Pp 1-9 (2024)
Abstract Background Anesthesiologists provide crucial anesthesiology services in the operating room and non-operating room locations. Combined with an aging and growing Israeli population, there is an increasing demand for anesthesiology services. A
Externí odkaz:
https://doaj.org/article/72d315792bae478280e9b1f5aec535cf
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background The practise of paramedicine can be highly stressful particularly where urgent lifesaving decisions need to be made. Traditionally, educators have adopted the approach of placing students in simulated stressful situations as a way
Externí odkaz:
https://doaj.org/article/b22f6a5a26b94660bed57dcac42e7f51